PPaperPicks

Jian Cao

Shanghai Jiao Tong University, Department of Computer Science and Engineering, China

23 papers at tracked venues · 14 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. AP2O-Coder: Adaptively Progressive Preference Optimization for Reducing Compilation and Runtime Errors in LLM-Generated Code
  2. DFRec: Dual Fluctuation Modeling of Multi-level Intent Evolution for Next-Item Recommendation
  3. GCA-KBQA: A Step-Wise Logical Form Generation Approach for KBQA with Knowledge-Assisted Calibration
  4. Generating then Refining for Reliable Knowledge Base Question Answering
  5. SEAR: LLM-Powered Sequential Recommendation via Fusion of Collaborative, Semantic, and Rating Information
  6. ADELA: Accelerating Evolutionary Design of Machine Learning Pipelines with the Accompanying Surrogate Model
  7. COLUR: Confidence-Oriented Learning, Unlearning and Relearning with Noisy-Label Data for Model Restoration and Refinement
  8. DABL: Detecting Semantic Anomalies in Business Processes Using Large Language Models
  9. DANet: A RAG-inspired Dual Attention Model for Few-shot Time Series Prediction
  10. EoT: Evolution of Thoughts for Complex Reasoning Tasks
  11. HtFLlib: A Comprehensive Heterogeneous Federated Learning Library and Benchmark
  12. KaeDe: Progressive Generation of Logical Forms via Knowledge-Aware Question Decomposition for Improved KBQA
  13. Mitigating Forgetting in Adapting Pre-trained Language Models to Text Processing Tasks via Consistency Alignment
  14. PCEvolve: Private Contrastive Evolution for Synthetic Dataset Generation via Few-Shot Private Data and Generative APIs
  15. POSM: A Personalized Outfit Recommendation System with Style-Guided Multi-Modal Feature Fusion
  16. Promoting Knowledge Base Question Answering by Directing LLMs to Generate Task-relevant Logical Forms
  17. Recalling The Forgotten Class Memberships: Unlearned Models Can Be Noisy Labelers to Leak Privacy
  18. Singleton CTR Prediction: Towards Single-User Modeling Paradigm with Large Language Models
  19. Trusted Collective Learning for Conflictive Multi-View Decision-Making
  20. An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning
  21. Exploitation or Exploration Next? User Behavior Decoupling and Emerging Intent Modeling for Next-Item Recommendation
  22. FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning
  23. R2V-MIF: Rule-to-Vector Contrastive Learning and Multi-channel Information Fusion for Therapy Recommendation